Human lipoproteins comprise at least 12 different classes that are lognormally distributed

Tomokazu Konishi, Risako Fujiwara, Tadaaki Saito, Nozomi Satou, Yurie Hayashi, Naoko Crofts, Ikuko Iwasaki, Yoshihisa Abe, Shinpei Kawata and Tatsuya Ishikawa

PLOS ONE, 2022, vol. 17, issue 11, 1-13

Abstract: This study presents the results of HPLC, a gentler and rapid separation method in comparison with the conventional ultracentrifugation, for 55 human serum samples. The elution patterns were analysed parametrically, and the attribute of each class was confirmed biochemically. Human samples contained 12 classes of lipoproteins, each of which may consist primarily of proteins. There are three classes of VLDLs. The level of each class was distributed lognormally, and the standard amount and the 95% range were estimated. Some lipoprotein classes with a narrow range could become ideal indicators of specific diseases. This lognormal character suggests that the levels are controlled by the synergy of multiple factors; multiple undesirable lifestyle habits may drastically increase the levels of specific lipoprotein classes. Lipoproteins in medical samples have been measured by enzymatic methods that coincide with conventional ultracentrifugation; however, the high gravity and time required for ultracentrifugation can cause sample degradation. Actually, the enzymatic methods measured the levels of several mixed classes. The targets of enzymatic methods have to be revised.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0275066

DOI: 10.1371/journal.pone.0275066

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